Journal of Neuroinflammation,
Journal Year:
2022,
Volume and Issue:
19(1)
Published: July 14, 2022
Depression
is
a
recurrent
and
devastating
mental
disease
that
highly
prevalent
worldwide.
Prolonged
exposure
to
stressful
events
or
environment
detrimental
health.
In
recent
years,
an
inflammatory
hypothesis
has
been
implicated
in
the
pathogenesis
of
stress-induced
depression.
However,
less
attention
given
initial
phases,
when
series
stress
reactions
immune
responses
are
initiated.
Peripheral
CD4+
T
cells
have
reported
as
major
contributors
occurrence
disorders.
Chronic
exposure-evoked
release
cytokines
can
promote
differentiation
peripheral
into
various
phenotypes.
Among
them,
Th17
attracted
much
due
their
high
pathogenic
potential
central
nervous
system
(CNS)
diseases.
Thus,
we
intended
determine
crucial
role
development
specific
subtypes
depression
unravel
underpinnings
pathogenetic
effect.In
present
research,
daily
6-h
restraint
paradigm
was
employed
rats
for
28
successive
days
mimic
repeated
mild
predictable,
but
inevitable
environmental
our
lives.
Then,
depressive-like
symptoms,
brain-blood
barrier
(BBB)
permeability,
neuroinflammation,
functional
changes
were
investigated.We
noticed
restrained
showed
significant
concomitant
BBB
disruption
neuroinflammation
dorsal
striatum
(DS).
We
further
observed
time-dependent
increase
thymus-
spleen-derived
naïve
cells,
well
aggregation
DS
during
period
chronic
(CRS)
exposure.
Moreover,
increased
Th17-derived
brain
impair
integrity,
thus
allowing
more
gain
easy
access
CNS.
Our
findings
suggested
that,
through
complex
cascade
events,
propagated
CNS,
gradually
exacerbated
symptoms.
Furthermore,
inhibiting
function
with
SR1001
early
stages
CRS
ameliorated
CRS-induced
behaviour
response.Our
data
demonstrated
pivotal
accelerating
onset
exacerbation
depressive
symptoms
CRS-exposed
rats.
This
subtype
may
be
promising
therapeutic
target
treatment
Genome biology,
Journal Year:
2021,
Volume and Issue:
22(1)
Published: March 8, 2021
Abstract
Spatial
transcriptomic
and
proteomic
technologies
have
provided
new
opportunities
to
investigate
cells
in
their
native
microenvironment.
Here
we
present
Giotto,
a
comprehensive
open-source
toolbox
for
spatial
data
analysis
visualization.
The
module
provides
end-to-end
by
implementing
wide
range
of
algorithms
characterizing
tissue
composition,
expression
patterns,
cellular
interactions.
Furthermore,
single-cell
RNAseq
can
be
integrated
cell-type
enrichment
analysis.
visualization
allows
users
interactively
visualize
outputs
imaging
features.
To
demonstrate
its
general
applicability,
apply
Giotto
datasets
encompassing
diverse
platforms.
Frontiers in Neuroanatomy,
Journal Year:
2018,
Volume and Issue:
12
Published: Oct. 23, 2018
The
mouse
brain
is
the
most
extensively
studied
of
all
species.
We
performed
an
exhaustive
review
literature
to
establish
our
current
state
knowledge
on
cell
numbers
in
regions,
arguably
fundamental
property
measure
when
attempting
understand
a
brain.
synthesized
information,
collected
one
place,
can
be
used
by
both
theorists
and
experimentalists.
Although
for
commonly-studied
regions
densities
could
obtained
principal
types,
overall
we
know
very
little
about
how
many
cells
are
present
even
less
cell-type
specific
densities.
There
also
substantial
variation
density
values
from
different
sources.
This
suggests
that
need
new
approach
obtain
datasets
Signal Transduction and Targeted Therapy,
Journal Year:
2022,
Volume and Issue:
7(1)
Published: May 24, 2022
Abstract
Organoids
are
three-dimensional
(3D)
miniature
structures
cultured
in
vitro
produced
from
either
human
pluripotent
stem
cells
(hPSCs)
or
adult
(AdSCs)
derived
healthy
individuals
patients
that
recapitulate
the
cellular
heterogeneity,
structure,
and
functions
of
organs.
The
advent
3D
organoid
systems
is
now
possible
to
allow
remarkably
detailed
observation
cell
morphogens,
maintenance
differentiation
resemble
primary
tissues,
enhancing
potential
study
both
physiology
developmental
stage.
As
they
similar
their
original
organs
carry
genetic
information,
organoids
patient
hold
great
promise
for
biomedical
research
preclinical
drug
testing
currently
used
personalized,
regenerative
medicine,
gene
repair
transplantation
therapy.
In
recent
decades,
researchers
have
succeeded
generating
various
types
mimicking
vivo
Herein,
we
provide
an
update
on
current
technologies
brain,
retinal,
kidney,
liver,
lung,
gastrointestinal,
cardiac,
vascularized
multi-lineage
organoids,
discuss
differences
between
PSC-
AdSC-derived
summarize
applications
cell-derived
laboratory
clinic,
outline
challenges
application
which
would
deepen
understanding
mechanisms
development
enhance
further
utility
basic
clinical
studies.
Pharmacological Reviews,
Journal Year:
2020,
Volume and Issue:
73(1), P. 310 - 520
Published: Dec. 22, 2020
5-HT
receptors
expressed
throughout
the
human
body
are
targets
for
established
therapeutics
and
various
drugs
in
development.
Their
diversity
of
structure
function
reflects
important
role
play
physiologic
pathophysiological
processes.
The
present
review
offers
a
framework
official
receptor
nomenclature
detailed
understanding
each
14
subtypes,
their
roles
systems
body,
and,
where
appropriate,
(potential)
utility
targeting
these
receptors.
Significance
Statement
This
provides
comprehensive
account
classification
5-hydroxytryptamine
receptors,
including
how
they
targeted
therapeutic
benefit.
Journal of Neuroscience,
Journal Year:
2016,
Volume and Issue:
36(45), P. 11469 - 11481
Published: Nov. 9, 2016
Signals
of
energy
homeostasis
interact
closely
with
neural
circuits
motivation
to
control
food
intake.
An
emerging
hypothesis
is
that
the
transition
maladaptive
feeding
behavior
seen
in
eating
disorders
or
obesity
may
arise
from
dysregulation
these
interactions.
Focusing
on
key
brain
regions
involved
intake
(ventral
tegmental
area,
striatum,
hypothalamus,
and
thalamus),
we
describe
how
activity
specific
cell
types
embedded
within
can
influence
distinct
components
motivated
behavior.
We
review
signals
behavioral
output
present
evidence
experience-dependent
adaptations
represent
cellular
correlates
impaired
control.
Future
research
into
mechanisms
restore
balance
between
inspire
new
treatment
options
for
obesity.
Psychology of Music,
Journal Year:
2017,
Volume and Issue:
45(6), P. 886 - 909
Published: April 11, 2017
This
study
investigated
the
inverted-U
model
of
preference
for
music
as
a
function
collative
variables
(especially
familiarity
and
complexity)
over
last
115
years.
The
results
57
studies
on
were
categorized
according
to
their
patterns
preference.
Fifty
(87.7%)
compatible
with
an
overarching
(segmented)
model,
while
five
(8.8%)
interpreted
mixed,
showing
both
incompatible
results.
Two
(3.5%)
completely
model.
In
contrast
authors
who
describe
defunct,
this
review
has
observed
that
producing
are
still
prevalent.
We
propose
there
may
be
inconsistencies
Berlyne’s
psychobiological
theory
from
scientific,
arousal-based
standpoint,
is
able
explain
considerable
amount
data.
Rather,
it
seems
research
interests
have
moved
elsewhere,
but
caution
urged
in
asserting
denial
or
dismissal
relationship
research.
Frontiers in Computational Neuroscience,
Journal Year:
2018,
Volume and Issue:
12
Published: Nov. 13, 2018
To
infer
the
causes
of
its
sensations,
brain
must
call
on
a
generative
(predictive)
model.
This
necessitates
passing
local
messages
between
populations
neurons
to
update
beliefs
about
hidden
variables
in
world
beyond
sensory
samples.
It
also
entails
inferences
how
we
will
act.
Active
inference
is
principled
framework
that
frames
perception
and
action
as
approximate
Bayesian
inference.
has
been
successful
accounting
for
wide
range
physiological
behavioural
phenomena.
Recently,
process
theory
emerged
attempts
relate
their
neurobiological
substrates.
In
this
paper,
review
develop
anatomical
aspects
theory.
We
argue
form
models
required
constrains
way
which
regions
connect
one
another.
Specifically,
neuronal
representing
variable
receive
input
from
Markov
blanket
variable.
illustrate
idea
four
different
domains:
perception,
planning,
attention,
movement.
doing
so,
attempt
show
appealing
enables
us
account
architectures.
Ultimately,
committing
an
ensures
can
empirical
hypotheses
be
tested
using
neuroimaging,
neuropsychological,
electrophysiological
experiments.
EBioMedicine,
Journal Year:
2019,
Volume and Issue:
47, P. 543 - 552
Published: Aug. 13, 2019
Current
fMRI-based
classification
approaches
mostly
use
functional
connectivity
or
spatial
maps
as
input,
instead
of
exploring
the
dynamic
time
courses
directly,
which
does
not
leverage
full
temporal
information.Motivated
by
ability
recurrent
neural
networks
(RNN)
in
capturing
information
sequences,
we
propose
a
multi-scale
RNN
model,
enables
between
558
schizophrenia
and
542
healthy
controls
using
fMRI
independent
components
(ICs)
directly.
To
increase
interpretability,
also
leave-one-IC-out
looping
strategy
for
estimating
top
contributing
ICs.Accuracies
83·2%
80·2%
were
obtained
respectively
multi-site
pooling
leave-one-site-out
transfer
classification.
Subsequently,
dorsal
striatum
cerebellum
contribute
two
group-discriminative
courses,
is
true
even
when
adopting
different
brain
atlases
to
extract
series.This
first
attempt
apply
model
directly
on
mental
disorders,
shows
potential
RNN-based
neuroimaging
classifications.
FUND:
Natural
Science
Foundation
China,
Strategic
Priority
Research
Program
Chinese
Academy
Sciences,
National
Institutes
Health
Grants,
Foundation.